Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation

17 September 2020

Papers citing "Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation"

7 / 7 papers shown

Title
Graph Representation Learning for Contention and Interference Management in Wireless Networks Zhouyou Gu Branka Vucetic Kishore Chikkam Pasquale Aliberti Wibowo Hardjawana 9 1 0 15 Jan 2024
Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian Arash Nasr-Esfahany Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh CLL OffRL 50 0 0 04 Feb 2023
Environment-Aware AUV Trajectory Design and Resource Management for Multi-Tier Underwater Computing Xiangwang Hou Jingjing Wang Tong Bai Yansha Deng Yong Ren L. Hanzo 26 44 0 26 Oct 2022
Demystifying Reinforcement Learning in Time-Varying Systems Pouya Hamadanian Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh 40 1 0 14 Jan 2022
Machine Learning for Massive Industrial Internet of Things Hui Zhou Changyang She Yansha Deng Mischa Dohler A. Nallanathan 16 30 0 10 Mar 2021
Fairness-Oriented User Scheduling for Bursty Downlink Transmission Using Multi-Agent Reinforcement Learning Mingqi Yuan Qi Cao Man-On Pun Yi Chen 19 7 0 30 Dec 2020
Deep Reinforcement Learning for Resource Constrained Multiclass Scheduling in Wireless Networks Apostolos Avranas Marios Kountouris P. Ciblat 24 7 0 27 Nov 2020